/usr/include/openturns/ConditionalDistribution.hxx is in libopenturns-dev 1.9-5.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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/**
* @brief The ConditionalDistribution distribution
*
* Copyright 2005-2017 Airbus-EDF-IMACS-Phimeca
*
* This library is free software: you can redistribute it and/or modify
* it under the terms of the GNU Lesser General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU Lesser General Public License for more details.
*
* You should have received a copy of the GNU Lesser General Public
* along with this library. If not, see <http://www.gnu.org/licenses/>.
*
*/
#ifndef OPENTURNS_CONDITIONALDISTRIBUTION_HXX
#define OPENTURNS_CONDITIONALDISTRIBUTION_HXX
#include "openturns/OTprivate.hxx"
#include "openturns/Mixture.hxx"
#include "openturns/ResourceMap.hxx"
#include "openturns/Function.hxx"
BEGIN_NAMESPACE_OPENTURNS
/**
* @class ConditionalDistribution
*
* The ConditionalDistribution distribution.
*/
class OT_API ConditionalDistribution
: public Mixture
{
CLASSNAME;
/** The PosteriorDistribution class is closely linked with the ConditionalDistribution class
as they are the two parts of the Bayesian modeling using distributions */
friend class PosteriorDistribution;
public:
/** Default constructor */
ConditionalDistribution();
/** Parameters constructor */
ConditionalDistribution(const Distribution & conditionedDistribution,
const Distribution & conditioningDistribution);
ConditionalDistribution(const Distribution & conditionedDistribution,
const Distribution & conditioningDistribution,
const Function & linkFunction);
/** Comparison operator */
Bool operator ==(const ConditionalDistribution & other) const;
protected:
Bool equals(const DistributionImplementation & other) const;
public:
/** String converter */
String __repr__() const;
String __str__(const String & offset = "") const;
/* Interface inherited from Distribution */
/** Virtual constructor */
virtual ConditionalDistribution * clone() const;
/** Get one realization of the distribution */
Point getRealization() const;
/** Parameters value and description accessor */
PointWithDescriptionCollection getParametersCollection() const;
/** Parameters value accessors */
void setParameter(const Point & parameter);
Point getParameter() const;
/** Parameters description accessor */
Description getParameterDescription() const;
/* Interface specific to ConditionalDistribution */
/** Conditioned distribution accessor */
void setConditionedDistribution(const Distribution & conditionedDistribution);
Distribution getConditionedDistribution() const;
/** Conditioning distribution accessor */
void setConditioningDistribution(const Distribution & conditioningDistribution);
Distribution getConditioningDistribution() const;
/** Link function accessor */
void setLinkFunction(const Function & linkFunction);
Function getLinkFunction() const;
/** Get the i-th marginal distribution */
Implementation getMarginal(const UnsignedInteger i) const;
/** Get the distribution of the marginal distribution corresponding to indices dimensions */
Implementation getMarginal(const Indices & indices) const;
/** Method save() stores the object through the StorageManager */
void save(Advocate & adv) const;
/** Method load() reloads the object from the StorageManager */
void load(Advocate & adv);
protected:
private:
/** set both parameters */
void setConditionedAndConditioningDistributionsAndLinkFunction(const Distribution & conditionedDistribution,
const Distribution & conditioningDistribution,
const Function & linkFunction);
/** Compute the expectation of f(\theta)1_{\theta\leq \theta^*} with respect to the prior distribution of \theta */
Point computeExpectation(const Function & f,
const Point & thetaStar) const;
/** The conditioned distribution, i.e L(X|Theta) */
Distribution conditionedDistribution_;
/** The conditioning distribution, i.e L(Theta) */
Distribution conditioningDistribution_;
/** The link function */
Function linkFunction_;
/** Discrete marginals indices */
Indices discreteMarginalsIndices_;
/** Dirac marginals indices */
Indices diracMarginalsIndices_;
/** Continuous marginals indices */
Indices continuousMarginalsIndices_;
/** Lower bounds of the continuous marginals */
Point continuousLowerBounds_;
/** Upper bounds of the continuous marginals */
Point continuousUpperBounds_;
/** Standard continuous integration nodes */
Sample continuousNodes_;
/** Standard continuous weights */
Point continuousWeights_;
/** Discrete integration nodes */
Sample discreteNodes_;
/** Values of the Dirac marginals */
Point diracValues_;
}; /* class ConditionalDistribution */
END_NAMESPACE_OPENTURNS
#endif /* OPENTURNS_CONDITIONALDISTRIBUTION_HXX */
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